Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
SkinScreen is a medical technology service product from SkinScreen, LLC., established in Maryland, USA. Its core function is to use AI to analyze images of skin lesions and provide probabilities and risk alerts for common lesion types. It is positioned not as a diagnostic tool, but as a “decision-support tool”: helping users arrange a dermatology consultation as soon as possible after seeing risk results.
Based on the web workflow, users take a photo of a skin lesion, upload it through the web app, and receive risk results in real time. The company says it uses proprietary AI algorithms and convolutional neural network models, trained on 179,990 images, and claims accuracy and precision of over 90% for recognized skin lesions. However, the page does not provide independent clinical validation, sample distribution, regulatory approvals, or performance data across different skin tones and age groups, so these metrics should be interpreted with caution. The output consists of probability ranges and possible lesion types, and the company also clearly states that a definitive diagnosis can only be made through biopsy.
SkinScreen provides API access to its AI engine, using either an API Key or a Google service account key. The latter is described as more secure and as reducing the risk of key spoofing. The API supports both streaming and batch processing, making it suitable for integration into medical applications, triage systems, or enterprise platforms. Pricing is relatively high: when hosted on SkinScreen infrastructure, billing is monthly and per image, at USD 7/image for fewer than 1,000 images, USD 6/image for 1,001 to 10,000 images, and USD 5/image for more than 10,000 images; the first 25 requests are free. If deployed on the customer’s own infrastructure, the monthly license fee is USD 40,000. On privacy, the page only shows links to Terms of Service, Privacy Policy, and Cookie Policy; the main content does not disclose details on medical data storage, deletion, encryption, or compliance.
The advantages are a clear user flow, real-time results via web upload, and the availability of both an integration API and on-premises deployment options. It also provides explicit disclaimers about the tool’s limitations. The downsides are the relatively high per-use API cost, no disclosed Chinese-language support, and a lack of more comprehensive medical validation and compliance information. It is better suited for dermatology institutions, telemedicine platforms, insurance, or health management scenarios as an auxiliary screening tool, and is not suitable for users who treat its results as a confirmed diagnosis.
The captured content does not provide information on access from mainland China, payment methods, or localization, so network accessibility and payment availability cannot be determined. For users in China, if real medical images and personal health information are involved, cross-border data transfer, privacy compliance, and local medical device regulatory requirements should be carefully assessed.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on skinscreen.io official site.
skinscreen.io is an Unknown AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach skinscreen.io directly.